Principal AI/Machine Learning Engineer (AdTech)

Join our AdTech team as a Principal AI/Machine Learning Engineer. You will be a key contributor in developing advanced machine learning models and AI-driven features for our advertising platform. Your responsibilities will include designing, building, and deploying ML solutions for campaign optimization, user personalization, and creative content generation. You will work closely with engineering, product, and data science teams to ensure high performance, scalability, and reliability of our ML systems. Additionally, you will spearhead innovation by leveraging large language models and intelligent agent architectures to create new capabilities that automate and enhance advertising campaigns.

• Conception, construction, and deployment of machine learning solutions for campaign optimization, user personalization, and creative content generation.
• Leadership in the design and implementation of scalable, high-performance, and resilient machine learning solutions for AdTech use cases.
• Collaboration with engineering, product, and data science teams to translate marketing objectives into machine learning-driven solutions.
• This role requires deep expertise in machine learning techniques and the programmatic advertising ecosystem (e.g. , real-time bidding and digital marketing data)
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing services at scale
• Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasets
• Expertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storage
• Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training models
• Proficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML tools
• Experience with various data stores, including both SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis)
• 10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role (preferably in the AdTech/MarTech industry)
• Excellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholders
• Deep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchanges
• Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines for large-scale applications
• Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging
• Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns
• Experience with machine learning model serving and optimization for real-time inference applications (latency-critical environments)
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets
• Knowledge of microservices architecture and event-driven design patterns in distributed systems
• A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML